The article which is on the basis of English learning and adult learning characteristics, propose adult English vocabulary learning strategies based on network, and it thinks that adult learners are based on making fu...The article which is on the basis of English learning and adult learning characteristics, propose adult English vocabulary learning strategies based on network, and it thinks that adult learners are based on making full use of network to provide boundary, it overcomes the flaws of adult English and resist the temptation of other information network, and it takes the right vocabulary memory strategies, cognitive strategies, vocabulary learning metacognitive strategies, affective strategies of vocabulary learning and vocabulary learning society strategy ,then it can achieve good vocabulary learning effect.展开更多
In this paper, we conduct research on the influence factors of building the China’s adult education system under the openeducation resource perspective. Network education to build the learning society offers the best...In this paper, we conduct research on the influence factors of building the China’s adult education system under the openeducation resource perspective. Network education to build the learning society offers the best models and tools. All kinds of technical training,continuing education and so on all can through the network education. With the progress of the science and technology, at present on the networkis hard to experiment and practice activity will also been largely resolved. Therefore, to make full use of the advantages of network education,we can establish a learning society and construct lifelong education system. This paper starts from this perspective to propose the new idea on thecountermeasures and suggestions that will be benefi cial.展开更多
Support vector regression （SVR） method is a novel type of learning machine algorithms, which is seldom applied to the development of urban atmospheric quality models under multiple socio-economic factors. This study...Support vector regression （SVR） method is a novel type of learning machine algorithms, which is seldom applied to the development of urban atmospheric quality models under multiple socio-economic factors. This study presents four SVR models by selecting linear, radial basis, spline, and polynomial functions as kernels, respectively for the prediction of urban dust fall levels. The inputs of the models are identified as industrial coal consumption, population density, traffic flow coefficient, and shopping density coefficient. The training and testing results show that the SVR model with radial basis kernel performs better than the other three both in the training and testing processes. In addition, a number of scenario analyses reveal that the most suitable parameters （insensitive loss function e, the parameter to reduce the influence of error C, and discrete level or average distribution of parameters σ） are 0.001, 0.5, and 2 000, respectively.展开更多
文摘The article which is on the basis of English learning and adult learning characteristics, propose adult English vocabulary learning strategies based on network, and it thinks that adult learners are based on making full use of network to provide boundary, it overcomes the flaws of adult English and resist the temptation of other information network, and it takes the right vocabulary memory strategies, cognitive strategies, vocabulary learning metacognitive strategies, affective strategies of vocabulary learning and vocabulary learning society strategy ,then it can achieve good vocabulary learning effect.
文摘In this paper, we conduct research on the influence factors of building the China’s adult education system under the openeducation resource perspective. Network education to build the learning society offers the best models and tools. All kinds of technical training,continuing education and so on all can through the network education. With the progress of the science and technology, at present on the networkis hard to experiment and practice activity will also been largely resolved. Therefore, to make full use of the advantages of network education,we can establish a learning society and construct lifelong education system. This paper starts from this perspective to propose the new idea on thecountermeasures and suggestions that will be benefi cial.
基金Projects(2007JT3018, 2008JT1013, 2009FJ4056) supported by the Key Project in Hunan Science and Technology Program, ChinaProject(20090161120014) supported by the New Teachers Sustentation Fund in Doctoral Program, Ministry of Education, China
文摘Support vector regression （SVR） method is a novel type of learning machine algorithms, which is seldom applied to the development of urban atmospheric quality models under multiple socio-economic factors. This study presents four SVR models by selecting linear, radial basis, spline, and polynomial functions as kernels, respectively for the prediction of urban dust fall levels. The inputs of the models are identified as industrial coal consumption, population density, traffic flow coefficient, and shopping density coefficient. The training and testing results show that the SVR model with radial basis kernel performs better than the other three both in the training and testing processes. In addition, a number of scenario analyses reveal that the most suitable parameters （insensitive loss function e, the parameter to reduce the influence of error C, and discrete level or average distribution of parameters σ） are 0.001, 0.5, and 2 000, respectively.
